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Crowdsourcing Applications and Platforms: A Data Management Perspective

Summary: Tutorial frames crowdsourcing as a data-management primitive for on-demand human computation in tasks from entity resolution to contextual analytics. It synthesizes platform evolution and core challenges in quality, latency, scheduling, cost, privacy, and social concerns. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10431
Venue
VLDB
Year
2011
Pagerank
6.259258e-05
Overall Rank
5,343 | 63.35%
DOI
10.14778/3402755.3402809

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{doan_vldb11,
        title = {{Crowdsourcing Applications and Platforms: A Data Management Perspective}},
        author = {Doan, AnHai and Franklin, Michael J. and Kossmann, Donald and Kraska, Tim},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {12},
        pages = {1508--1513},
        doi = {10.14778/3402755.3402809},
        url = {https://doi.org/10.14778/3402755.3402809},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
2,789 Crowd Mining 2013 SIGMOD 8.1203892e-05
4,821 Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments 2017 SIGMOD 6.4935866e-05
7,357 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 5.6346837e-05
12,013 A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing 2017 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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